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The U.S. Census Bureau Mail Return Rate Challange: Crowdsourcing to Develop a Hard-to-Count Score
The U.S. Census Bureau Mail Return Rate Challange: Crowdsourcing to Develop a Hard-to-Count Score
RRS2014-08
Abstract
In 2012, the U.S. Census Bureau posed a challenge under the America COMPETES Act, an act designed to improve the competitiveness of the United States by investing in innovation through research and development. The Census Bureau contracted Kaggle.com to host and manage a world-wide competition to develop the best statistical model to predict 2010 Census mail return rates. The Census Bureau provided competitors with a block-group-level database consisting of housing, demographic, and socio-economic variables derived from the 2010 Census, five-year American Community Survey estimates, and 2010 Census operational data. The Census Bureau then challenged teams to use these data (and other publicly available data) to construct the models. One goal of the challenge was to leverage winning models as inputs to a new model-based hard-to-count (HTC) score, a metric to stratify and target geographic areas according to propensity to self-respond in sample surveys and censuses.
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WORKING PAPER
Statistical Research Reports and Studies
Page Last Revised - October 28, 2021
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